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Common Pitfalls of Head and Neck Research Using Cancer Registries
Objective To highlight common pitfalls observed in scientific research derived from national cancer registries, predominantly the Survival, Epidemiology, and End Results Program and the National Cancer Database. Data Sources Literature review and expert opinion. Review Methods This state-of-the-art...
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Published in: | Otolaryngology-head and neck surgery 2019-08, Vol.161 (2), p.245-250 |
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container_end_page | 250 |
container_issue | 2 |
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container_title | Otolaryngology-head and neck surgery |
container_volume | 161 |
creator | Jones, Evan A. Shuman, Andrew G. Egleston, Brian L. Liu, Jeffrey C. |
description | Objective
To highlight common pitfalls observed in scientific research derived from national cancer registries, predominantly the Survival, Epidemiology, and End Results Program and the National Cancer Database.
Data Sources
Literature review and expert opinion.
Review Methods
This state-of-the-art review consolidates the literature with editorial experiences describing how and why statistically flawed studies are usually rejected for publication, highlighting common errors in submitted articles employing national cancer registries.
Conclusions
Pitfalls were identified in 2 major areas—design and data analysis. Design pitfalls included unbalanced cohorts, uncontrolled covariates, and flawed oncologic variables. Analytical pitfalls included incorrect application of univariate analyses, inclusion of inaccurate data, and inclusion of stage IVc disease in curative survival analysis. Additional limitations of database studies were identified, including absence of patient-related outcomes, hypothesis-generating vs practice-changing implications, and inability to differentiate between overall survival and disease-specific survival.
Implications for Practice
Methodological strategies are suggested to ensure careful analytical design and appropriate interpretation. Although national cancer registries provide a wealth of data, researchers must remain vigilant when designing studies and analyzing these data sets. Inherent design flaws raise considerable problems with interpretation; however, when analyzed judiciously, registries can lead to a better understanding of cancer outcomes. |
doi_str_mv | 10.1177/0194599819838823 |
format | article |
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To highlight common pitfalls observed in scientific research derived from national cancer registries, predominantly the Survival, Epidemiology, and End Results Program and the National Cancer Database.
Data Sources
Literature review and expert opinion.
Review Methods
This state-of-the-art review consolidates the literature with editorial experiences describing how and why statistically flawed studies are usually rejected for publication, highlighting common errors in submitted articles employing national cancer registries.
Conclusions
Pitfalls were identified in 2 major areas—design and data analysis. Design pitfalls included unbalanced cohorts, uncontrolled covariates, and flawed oncologic variables. Analytical pitfalls included incorrect application of univariate analyses, inclusion of inaccurate data, and inclusion of stage IVc disease in curative survival analysis. Additional limitations of database studies were identified, including absence of patient-related outcomes, hypothesis-generating vs practice-changing implications, and inability to differentiate between overall survival and disease-specific survival.
Implications for Practice
Methodological strategies are suggested to ensure careful analytical design and appropriate interpretation. Although national cancer registries provide a wealth of data, researchers must remain vigilant when designing studies and analyzing these data sets. Inherent design flaws raise considerable problems with interpretation; however, when analyzed judiciously, registries can lead to a better understanding of cancer outcomes.</description><identifier>ISSN: 0194-5998</identifier><identifier>EISSN: 1097-6817</identifier><identifier>DOI: 10.1177/0194599819838823</identifier><identifier>PMID: 30939098</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Biomedical Research - methods ; cancer registry ; data analysis ; editorial experiences ; errors ; guidelines ; head and neck cancer ; Head and Neck Neoplasms ; Humans ; NCDB ; pitfalls ; Registries ; SEER ; statistical flaws ; study design ; submission ; unbalanced</subject><ispartof>Otolaryngology-head and neck surgery, 2019-08, Vol.161 (2), p.245-250</ispartof><rights>American Academy of Otolaryngology–Head and Neck Surgery Foundation 2019</rights><rights>2019 American Association of Otolaryngology‐Head and Neck Surgery Foundation (AAO‐HNSF)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4289-cb2a4f089e6a8ea00d3384a840813c7535753e4f23dc0d1a9bfbd22d44eb99043</citedby><cites>FETCH-LOGICAL-c4289-cb2a4f089e6a8ea00d3384a840813c7535753e4f23dc0d1a9bfbd22d44eb99043</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>313,314,777,781,789,27903,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30939098$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jones, Evan A.</creatorcontrib><creatorcontrib>Shuman, Andrew G.</creatorcontrib><creatorcontrib>Egleston, Brian L.</creatorcontrib><creatorcontrib>Liu, Jeffrey C.</creatorcontrib><title>Common Pitfalls of Head and Neck Research Using Cancer Registries</title><title>Otolaryngology-head and neck surgery</title><addtitle>Otolaryngol Head Neck Surg</addtitle><description>Objective
To highlight common pitfalls observed in scientific research derived from national cancer registries, predominantly the Survival, Epidemiology, and End Results Program and the National Cancer Database.
Data Sources
Literature review and expert opinion.
Review Methods
This state-of-the-art review consolidates the literature with editorial experiences describing how and why statistically flawed studies are usually rejected for publication, highlighting common errors in submitted articles employing national cancer registries.
Conclusions
Pitfalls were identified in 2 major areas—design and data analysis. Design pitfalls included unbalanced cohorts, uncontrolled covariates, and flawed oncologic variables. Analytical pitfalls included incorrect application of univariate analyses, inclusion of inaccurate data, and inclusion of stage IVc disease in curative survival analysis. Additional limitations of database studies were identified, including absence of patient-related outcomes, hypothesis-generating vs practice-changing implications, and inability to differentiate between overall survival and disease-specific survival.
Implications for Practice
Methodological strategies are suggested to ensure careful analytical design and appropriate interpretation. Although national cancer registries provide a wealth of data, researchers must remain vigilant when designing studies and analyzing these data sets. Inherent design flaws raise considerable problems with interpretation; however, when analyzed judiciously, registries can lead to a better understanding of cancer outcomes.</description><subject>Biomedical Research - methods</subject><subject>cancer registry</subject><subject>data analysis</subject><subject>editorial experiences</subject><subject>errors</subject><subject>guidelines</subject><subject>head and neck cancer</subject><subject>Head and Neck Neoplasms</subject><subject>Humans</subject><subject>NCDB</subject><subject>pitfalls</subject><subject>Registries</subject><subject>SEER</subject><subject>statistical flaws</subject><subject>study design</subject><subject>submission</subject><subject>unbalanced</subject><issn>0194-5998</issn><issn>1097-6817</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqFkM1Lw0AQxRdRbK3ePUmOXqKzH012jzVYKxQrYs9hs5nU1HzU3Qbpf--WVA-CeBgG5r3fY3iEXFK4oTSOb4EqMVZKUiW5lIwfkSEFFYeRpPExGe7lcK8PyJlzawCIojg-JQMOiitQckgmSVvXbRM8l9tCV5UL2iKYoc4D3eTBE5r34AUdamvegqUrm1WQ6Mag9ddV6ba2RHdOTjzp8OKwR2Q5vX9NZuF88fCYTOahEUyq0GRMiwKkwkhL1AA551JoKUBSbuIxH_tBUTCeG8ipVlmR5YzlQmCmFAg-Itd97sa2Hx26bVqXzmBV6QbbzqWMAYsiGknprdBbjW2ds1ikG1vW2u5SCum-uPR3cR65OqR3WY35D_DdlDfI3vBZVrj7NzBdzJ7upiCFUh4Ne9TpFabrtrONL-rvX74A4uGDlQ</recordid><startdate>201908</startdate><enddate>201908</enddate><creator>Jones, Evan A.</creator><creator>Shuman, Andrew G.</creator><creator>Egleston, Brian L.</creator><creator>Liu, Jeffrey C.</creator><general>SAGE Publications</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201908</creationdate><title>Common Pitfalls of Head and Neck Research Using Cancer Registries</title><author>Jones, Evan A. ; Shuman, Andrew G. ; Egleston, Brian L. ; Liu, Jeffrey C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4289-cb2a4f089e6a8ea00d3384a840813c7535753e4f23dc0d1a9bfbd22d44eb99043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Biomedical Research - methods</topic><topic>cancer registry</topic><topic>data analysis</topic><topic>editorial experiences</topic><topic>errors</topic><topic>guidelines</topic><topic>head and neck cancer</topic><topic>Head and Neck Neoplasms</topic><topic>Humans</topic><topic>NCDB</topic><topic>pitfalls</topic><topic>Registries</topic><topic>SEER</topic><topic>statistical flaws</topic><topic>study design</topic><topic>submission</topic><topic>unbalanced</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jones, Evan A.</creatorcontrib><creatorcontrib>Shuman, Andrew G.</creatorcontrib><creatorcontrib>Egleston, Brian L.</creatorcontrib><creatorcontrib>Liu, Jeffrey C.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Otolaryngology-head and neck surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jones, Evan A.</au><au>Shuman, Andrew G.</au><au>Egleston, Brian L.</au><au>Liu, Jeffrey C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Common Pitfalls of Head and Neck Research Using Cancer Registries</atitle><jtitle>Otolaryngology-head and neck surgery</jtitle><addtitle>Otolaryngol Head Neck Surg</addtitle><date>2019-08</date><risdate>2019</risdate><volume>161</volume><issue>2</issue><spage>245</spage><epage>250</epage><pages>245-250</pages><issn>0194-5998</issn><eissn>1097-6817</eissn><abstract>Objective
To highlight common pitfalls observed in scientific research derived from national cancer registries, predominantly the Survival, Epidemiology, and End Results Program and the National Cancer Database.
Data Sources
Literature review and expert opinion.
Review Methods
This state-of-the-art review consolidates the literature with editorial experiences describing how and why statistically flawed studies are usually rejected for publication, highlighting common errors in submitted articles employing national cancer registries.
Conclusions
Pitfalls were identified in 2 major areas—design and data analysis. Design pitfalls included unbalanced cohorts, uncontrolled covariates, and flawed oncologic variables. Analytical pitfalls included incorrect application of univariate analyses, inclusion of inaccurate data, and inclusion of stage IVc disease in curative survival analysis. Additional limitations of database studies were identified, including absence of patient-related outcomes, hypothesis-generating vs practice-changing implications, and inability to differentiate between overall survival and disease-specific survival.
Implications for Practice
Methodological strategies are suggested to ensure careful analytical design and appropriate interpretation. Although national cancer registries provide a wealth of data, researchers must remain vigilant when designing studies and analyzing these data sets. Inherent design flaws raise considerable problems with interpretation; however, when analyzed judiciously, registries can lead to a better understanding of cancer outcomes.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>30939098</pmid><doi>10.1177/0194599819838823</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biomedical Research - methods cancer registry data analysis editorial experiences errors guidelines head and neck cancer Head and Neck Neoplasms Humans NCDB pitfalls Registries SEER statistical flaws study design submission unbalanced |
title | Common Pitfalls of Head and Neck Research Using Cancer Registries |
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